
#include <Eigen/Core>
#include <bench/BenchUtil.h>
#include <iostream>
using namespace Eigen;

#ifndef REPEAT
#define REPEAT 100000
#endif

#ifndef TRIES
#define TRIES 20
#endif

typedef double Scalar;

template<typename MatrixType>
__attribute__((noinline)) void
bench_reverse(const MatrixType& m)
{
	int rows = m.rows();
	int cols = m.cols();
	int size = m.size();

	int repeats = (REPEAT * 1000) / size;
	MatrixType a = MatrixType::Random(rows, cols);
	MatrixType b = MatrixType::Random(rows, cols);

	BenchTimer timerB, timerH, timerV;

	Scalar acc = 0;
	int r = internal::random<int>(0, rows - 1);
	int c = internal::random<int>(0, cols - 1);
	for (int t = 0; t < TRIES; ++t) {
		timerB.start();
		for (int k = 0; k < repeats; ++k) {
			asm("#begin foo");
			b = a.reverse();
			asm("#end foo");
			acc += b.coeff(r, c);
		}
		timerB.stop();
	}

	if (MatrixType::RowsAtCompileTime == Dynamic)
		std::cout << "dyn   ";
	else
		std::cout << "fixed ";
	std::cout << rows << " x " << cols << " \t" << (timerB.value() * REPEAT) / repeats << "s "
			  << "(" << 1e-6 * size * repeats / timerB.value() << " MFLOPS)\t";

	std::cout << "\n";
	// make sure the compiler does not optimize too much
	if (acc == 123)
		std::cout << acc;
}

int
main(int argc, char* argv[])
{
	const int dynsizes[] = { 4, 6, 8, 16, 24, 32, 49, 64, 128, 256, 512, 900, 0 };
	std::cout << "size            no sqrt                           standard";
	//   #ifdef BENCH_GSL
	//   std::cout << "       GSL (standard + double + ATLAS)  ";
	//   #endif
	std::cout << "\n";
	for (uint i = 0; dynsizes[i] > 0; ++i) {
		bench_reverse(Matrix<Scalar, Dynamic, Dynamic>(dynsizes[i], dynsizes[i]));
		bench_reverse(Matrix<Scalar, Dynamic, 1>(dynsizes[i] * dynsizes[i]));
	}
	//   bench_reverse(Matrix<Scalar,2,2>());
	//   bench_reverse(Matrix<Scalar,3,3>());
	//   bench_reverse(Matrix<Scalar,4,4>());
	//   bench_reverse(Matrix<Scalar,5,5>());
	//   bench_reverse(Matrix<Scalar,6,6>());
	//   bench_reverse(Matrix<Scalar,7,7>());
	//   bench_reverse(Matrix<Scalar,8,8>());
	//   bench_reverse(Matrix<Scalar,12,12>());
	//   bench_reverse(Matrix<Scalar,16,16>());
	return 0;
}
